An improved traffic matrix decomposition method with frequency-domain regularization

Zhe Wang; Kai Hu; Baolin Yin

doi:10.1587/transinf.E96.D.731

An improved traffic matrix decomposition method with frequency-domain regularization

Zhe Wang
, Kai Hu
, Baolin Yin

计算机学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise regularization function. An experiment demonstrates the feasibility of this new decomposition method.

源语言	英语
页（从-至）	731-734
页数	4
期刊	IEICE Transactions on Information and Systems
卷	E96-D
期	3
DOI	https://doi.org/10.1587/transinf.E96.D.731
出版状态	已出版 - 3月 2013

访问文件

10.1587/transinf.E96.D.731

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{b04269246ebc4a098efed0168104e9fe,

title = "An improved traffic matrix decomposition method with frequency-domain regularization",

abstract = "We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise regularization function. An experiment demonstrates the feasibility of this new decomposition method.",

keywords = "Frequency-domain regularization, Iterative algorithm, Stable principal component pursuit, Traffic matrix",

author = "Zhe Wang and Kai Hu and Baolin Yin",

year = "2013",

month = mar,

doi = "10.1587/transinf.E96.D.731",

language = "英语",

volume = "E96-D",

pages = "731--734",

journal = "IEICE Transactions on Information and Systems",

issn = "0916-8532",

publisher = "Institute of Electronics Information Communication Engineers",

number = "3",

}

TY - JOUR

T1 - An improved traffic matrix decomposition method with frequency-domain regularization

AU - Wang, Zhe

AU - Hu, Kai

AU - Yin, Baolin

PY - 2013/3

Y1 - 2013/3

N2 - We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise regularization function. An experiment demonstrates the feasibility of this new decomposition method.

AB - We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise regularization function. An experiment demonstrates the feasibility of this new decomposition method.

KW - Frequency-domain regularization

KW - Iterative algorithm

KW - Stable principal component pursuit

KW - Traffic matrix

UR - https://www.scopus.com/pages/publications/84878221502

U2 - 10.1587/transinf.E96.D.731

DO - 10.1587/transinf.E96.D.731

M3 - 文章

AN - SCOPUS:84878221502

SN - 0916-8532

VL - E96-D

SP - 731

EP - 734

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 3

ER -

An improved traffic matrix decomposition method with frequency-domain regularization

摘要

访问文件

其它文件与链接

学术指纹

引用此